课程: Building and Deploying Deep Learning Applications with TensorFlow

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Use a model in the cloud

Use a model in the cloud - TensorFlow教程

课程: Building and Deploying Deep Learning Applications with TensorFlow

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Use a model in the cloud

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- [Instructor] Now that we have created the cloud based machine learning model, let's put it to use. If you haven't already created the cloud based model, please review the previous video before continuing. In this video, we'll learn how to call our machine learning model from a Python program. But you can also use the same approach to use cloud based machine learning models in programs not written in Python. Google provides implementations of its API client library for many popular programming languages. Let's take a look at developers.google.com/apiclientlibrary and let's scroll down to the supported languages. You can call Google services from any of these languages, using the same basic approach we'll use here. Just check the documentation and code samples provided by Google, to see how the syntax varies for each language. Okay, let's get started, to use a cloud based machine learning model from another program, we need two things, first, we need access to make calls to the cloud.…

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